Taman Pandan Mas
Residensi Pandanmas 2, 2A, Lorong Delapan, Kampung Pandan, 55100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Residensi Pandanmas 2, 2A, Lorong Delapan, Kampung Pandan, 55100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 2
|
RM550,000
|
RM469
|
1,173 sqft
|
|
|
|
Level 3
|
RM498,000
|
RM424
|
1,173 sqft
|
|
|
|
Level 3
|
RM480,000
|
RM410
|
1,170 sqft
|
|
|
|
Level 3
|
RM430,000
|
RM368
|
1,170 sqft
|
|
|
|
Level 3
|
RM480,000
|
RM410
|
1,170 sqft
|
|
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Taman Pandan Mas
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Bandar Ampang
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Residensi Pandanmas 2, 2A, Lorong Delapan, Kampung Pandan, 55100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsTaman Pandan Mas in Hulu Langat, Selangor recorded 5 subsale transactions between 2021 and 2026, with a median price of RM480K and a median price per square foot (PSF) of RM410.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM480K, with most transactions falling within a stable range of RM462K to RM498K, and a typical market range of RM471K to RM489K.
Most transactions involved town house, with minimal variety in property types.
For price per square foot, the median is RM410, with most transactions between RM396 and RM424. The usual range is RM403.28 to RM417.28, showing that most units are priced quite close to each other. A typical spread (IQR) of RM14.00 and an average deviation (MAD) of RM14 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.